Description
Netra is an end-to-end platform designed to manage the entire lifecycle of AI agents. It provides tools for prompt management, observability, evaluation, simulation, and red teaming. Built on OpenTelemetry standards, Netra supports over 14 LLM providers, including OpenAI and Google Gemini, and more than 12 frameworks such as LangChain and LlamaIndex.
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The platform offers detailed tracing capabilities, breaking down each agent request into spans that reveal latency, cost, and token usage. This allows developers to debug and optimize AI agents efficiently. Netra also provides a secure environment, being SOC 2 Type II certified and compliant with HIPAA and GDPR regulations, ensuring data protection and privacy.
Netra is available in various deployment models, including fully managed SaaS, on-premise, and self-hosted options, catering to different organizational needs. Users can start with a free tier, which includes basic features, or opt for Pro and Enterprise plans for more extensive capabilities.
The platform's observability features allow users to trace every LLM call, tool execution, and sub-agent handoff, providing a comprehensive view of agent operations. Netra's evaluation tools enable the creation of test cases from real production traces, ensuring changes are validated before deployment. Additionally, the simulation feature allows for persona-driven testing, identifying potential failure modes before they impact real users.
- CategoryMLOps & Model Deployment
- Pricing ModelFreemium
- DeploymentCloud, On-Premise
- PlatformsOpenTelemetry
Netra's Core Features
AI agent lifecycle management
Observability and tracing
Evaluation and testing
Simulation and red teaming
Supports 14+ LLM providers
SOC 2, HIPAA, and GDPR compliant
Multiple deployment models
Secure and compliant operations
How to use Netra?
Install SDK: Use pip or npm to install the Netra SDK.
Initialize: Set up with your API key to start tracing.
Configure: Choose deployment model and integrate with your stack.
Use: Monitor and evaluate AI agents with built-in tools.
Optimize: Debug and improve agent performance using insights.
Netra's Use Cases
- AI Agent Debugging
- Lifecycle Management
- Compliance Assurance
- Performance Optimization
- Simulation Testing
